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Agent use cases

Production AI agent use cases.

Explore production agents that investigate, build, publish, optimise, and coordinate work across the systems your teams already use.

Browse the catalogue

Explore AI agent workflows by team.

Six workflow areas. Forty-three practical starting points for putting persistent agents into production.

01 / Reliability & operations

AI agents for reliability and operations.

UC-001Incident response

Incident autopilot

Automated flow

Datadog alert → inspect affected Kubernetes workloads, recent deployments and Postgres behaviour → create incident → open or update a Linear or Jira work item → suggest remediation.

AI contribution

Correlates metrics, logs, traces, deploys and database symptoms; generates an incident summary and likely root cause.

UC-002Remediation

Closed-loop remediation

Automated flow

Detect unhealthy pods or saturation → restart workload, scale replicas, roll back a deployment or run a Kubernetes Job → verify recovery in Datadog → update ticket.

AI contribution

Chooses an approved runbook and evaluates whether the remediation actually worked.

UC-003Signal management

Alert deduplication

Automated flow

Collect many Datadog monitors → group alerts by service, deployment, cluster and time window → create one parent incident instead of 50 tickets.

AI contribution

Determines which alerts are symptoms of the same underlying failure.

UC-004Issue management

Automated ticket enrichment

Automated flow

New Jira or Linear production bug → attach relevant dashboards, logs, traces, Kubernetes events, affected versions and database queries.

AI contribution

Converts a vague report into a reproducible engineering investigation.

UC-005Release safety

Release risk assessment

Automated flow

Before deployment, inspect unresolved incidents, risky Jira or Linear issues, recent error rates and Postgres migration impact → approve, warn or block release.

AI contribution

Produces a contextual risk score and explains the factors behind it.

UC-006Release safety

Post-deployment verification

Automated flow

Kubernetes rollout completes → compare Datadog metrics before and after → detect regressions → automatically roll back or create a defect.

AI contribution

Distinguishes normal variance from likely deployment-caused degradation.

UC-007Database

Database performance assistant

Automated flow

Datadog finds a slow Postgres query → retrieve execution context and affected services → identify a related deployment or ticket → open an optimization task.

AI contribution

Explains likely query bottlenecks and proposes indexes, query changes or capacity actions for review.

UC-008FinOps

Capacity and cost optimization

Automated flow

Analyse Kubernetes requests, limits and actual utilisation → recommend rightsizing → create changes as tickets or pull-request inputs.

AI contribution

Balances cost reduction against reliability and traffic patterns.

UC-009Reliability

SLO-driven backlog management

Automated flow

Datadog shows recurring SLO violations → identify contributing services and incidents → create or reprioritise reliability work.

AI contribution

Quantifies expected reliability impact so work is prioritised by operational value.

UC-010Security

Security remediation workflow

Automated flow

Detect suspicious runtime behaviour or a vulnerable deployment → identify workload owner → isolate or restrict workload → create tracked remediation work.

AI contribution

Summarises evidence, estimates severity and recommends containment steps.

UC-011Runbooks

Runbook automation

Automated flow

Engineer comments “diagnose latency” on a Jira or Linear issue → agent runs approved read-only diagnostics across Datadog, Kubernetes and Postgres → posts findings.

AI contribution

Translates natural-language requests into structured, auditable tool calls.

UC-012Insights

Engineering portfolio intelligence

Automated flow

Combine Jira or Linear delivery data with Datadog production outcomes → measure which projects reduce incidents, latency or operational load.

AI contribution

Produces outcome-based reporting rather than only velocity reporting.

02 / Software delivery

AI agents for software delivery.

UC-013CI/CD

Autofix

Automated flow

Build fails → read build logs → identify the root cause → commit a fix to the pull-request branch → re-trigger builds until they pass.

AI contribution

Diagnoses failures from build evidence and generates a scoped code change that is verified by the same CI system.

UC-014Code quality

Code review

Automated flow

Pull request opens or changes → inspect the diff, repository context and tests → post actionable review findings.

AI contribution

Reviews changes for code quality, security issues and gaps in test coverage.

UC-015Testing

Code coverage

Automated flow

Coverage report updates → identify untested lines and branches → generate targeted tests → run the suite and verify the coverage increase.

AI contribution

Understands the uncovered behaviour and writes meaningful tests to close coverage gaps.

UC-016Code health

Feature flag cleanup

Automated flow

Scan flag usage and rollout state → detect stale flags → trace affected code paths → validate removal and prepare the change.

AI contribution

Determines whether a flag is safe to remove and identifies the code, configuration and tests that must change with it.

UC-017Kubernetes

Manifest remediator

Automated flow

Kubernetes deployment fails → inspect rollout status, events and manifests → fix manifest issues → redeploy and verify workload health.

AI contribution

Connects deployment symptoms to configuration errors and produces a minimal, verifiable manifest correction.

UC-018Infrastructure as code

IaC remediation

Automated flow

Detect configuration drift, a security finding or cloud cost issue → locate the responsible infrastructure configuration → edit it → validate the plan and open a change for review.

AI contribution

Translates live infrastructure findings into reviewable configuration changes with their operational impact explained.

03 / Marketing strategy

AI agents for marketing strategy.

UC-019Strategy

Campaign planning

What the agent does

Converts business goals into audiences, channels, messaging, budgets and timelines.

Human oversight

Approves strategy and spend.

Key KPI

Pipeline, ROAS

UC-020Research

Customer research

What the agent does

Analyses surveys, reviews, calls, social posts and CRM notes to identify needs and objections.

Human oversight

Validates insights.

Key KPI

Research time, insight adoption

UC-021Audience

Audience segmentation

What the agent does

Continuously groups customers by behaviour, intent, value, lifecycle stage or likelihood to buy.

Human oversight

Reviews sensitive targeting rules.

Key KPI

Conversion rate

04 / Content & community

AI agents for content and community.

UC-022Content

Content ideation

What the agent does

Generates campaign themes, blog topics, social concepts, hooks and content briefs.

Human oversight

Selects ideas and brand direction.

Key KPI

Content velocity

UC-023Content

Content production

What the agent does

Drafts emails, landing pages, articles, ads, product descriptions and social posts.

Human oversight

Reviews claims, quality and tone.

Key KPI

Production time

UC-024Content

Content repurposing

What the agent does

Turns webinars, reports and videos into posts, emails, clips, summaries and sales assets.

Human oversight

Approves final outputs.

Key KPI

Assets per source

UC-025Organic growth

SEO optimisation

What the agent does

Finds topic gaps, builds briefs, improves internal links and recommends content updates.

Human oversight

Reviews editorial decisions.

Key KPI

Organic traffic

UC-026Social

Social media management

What the agent does

Plans calendars, drafts posts, recommends publishing times and flags comments needing attention.

Human oversight

Approves publishing and sensitive replies.

Key KPI

Engagement rate

UC-027Community

Community engagement

What the agent does

Answers routine questions, welcomes members, categorises feedback and escalates complaints.

Human oversight

Handles complex or reputational issues.

Key KPI

Response time

05 / Demand & lifecycle

AI agents for demand generation and lifecycle marketing.

UC-028Demand generation

Lead qualification

What the agent does

Enriches leads, scores intent, asks qualifying questions and routes prospects to the right team.

Human oversight

Defines qualification criteria.

Key KPI

Qualified-lead rate

UC-029Demand generation

Conversational marketing

What the agent does

Engages website visitors, recommends resources, captures details and books meetings.

Human oversight

Reviews conversation flows.

Key KPI

Meetings booked

UC-030Email

Email personalisation

What the agent does

Selects content, offers, subject lines and send times for each subscriber.

Human oversight

Sets frequency and compliance rules.

Key KPI

Click and conversion rates

UC-031Lifecycle

Lifecycle marketing

What the agent does

Coordinates onboarding, activation, retention, renewal and win-back journeys.

Human oversight

Approves journey logic.

Key KPI

Retention, churn

UC-032Enterprise growth

Account-based marketing

What the agent does

Researches target accounts and produces personalised messages, ads, landing pages and briefs.

Human oversight

Approves account strategy.

Key KPI

Account engagement

UC-033Paid media

Paid-media optimisation

What the agent does

Monitors performance, reallocates budgets, pauses weak ads and proposes new experiments.

Human oversight

Sets spending and risk limits.

Key KPI

CPA, ROAS

UC-034Experimentation

Creative testing

What the agent does

Produces controlled variations of copy, imagery concepts, offers and calls to action.

Human oversight

Approves test design.

Key KPI

Performance uplift

UC-035Web experience

Website personalisation

What the agent does

Changes page content and recommendations based on visitor source, industry, intent or history.

Human oversight

Defines eligible experiences.

Key KPI

Website conversion

06 / Intelligence & operations

AI agents for marketing analytics and operations.

UC-036Market intelligence

Competitive intelligence

What the agent does

Tracks competitor messaging, campaigns, positioning, pricing pages and content themes.

Human oversight

Interprets strategic implications.

Key KPI

Insight-to-action time

UC-037Customer insight

Voice-of-customer analysis

What the agent does

Classifies feedback into themes, detects emerging issues and shares recommended actions.

Human oversight

Confirms priorities.

Key KPI

Satisfaction, issue resolution

UC-038Analytics

Marketing analytics

What the agent does

Combines channel data, explains changes, identifies anomalies and prepares performance reports.

Human oversight

Validates attribution and conclusions.

Key KPI

Reporting time

UC-039Analytics

Attribution support

What the agent does

Connects marketing activities with customer journeys and suggests budget changes.

Human oversight

Approves attribution assumptions.

Key KPI

Incremental revenue

UC-040Events

Event marketing

What the agent does

Builds invite lists, personalises outreach, manages reminders and coordinates follow-up.

Human oversight

Approves guests and messaging.

Key KPI

Registrations, attendance

UC-041Partnerships

Influencer discovery

What the agent does

Identifies relevant creators, assesses audience fit and drafts outreach messages.

Human oversight

Verifies creators and negotiates terms.

Key KPI

Cost per engagement

UC-042Governance

Brand compliance

What the agent does

Reviews assets for tone, terminology, visual rules, legal disclaimers and unsupported claims.

Human oversight

Makes final approval decisions.

Key KPI

Compliance incidents

UC-043Operations

Marketing operations

What the agent does

Cleans CRM data, fixes campaign naming, updates records and coordinates tasks across tools.

Human oversight

Sets permissions and audit rules.

Key KPI

Data quality, hours saved